[Advanced Feature] n8n Integration for Workflow Automation

[dineshpinto]

• Description: Integrate Flare AI Kit with n8n, a leading workflow automation tool. This will empower users to build powerful, event-driven applications using a low-code/no-code interface. By exposing the SDK's functionalities through a simple API, we can connect on-chain data, TEE operations, and AI-driven tasks to hundreds of other web services and triggers available in the n8n ecosystem.
  The core of this integration will be a lightweight FastAPI wrapper service that exposes key functions from the Flare AI Kit as HTTP endpoints. n8n workflows will then call these endpoints to perform specialized tasks.
• Acceptance Criteria:
  • A FastAPI service is created that wraps the Flare AI Kit, providing a stable API interface.
  • The API exposes key SDK functionalities, such as:
    • Fetching FTSO price data.
    • Performing a semantic search via the RAG retriever.
    • Performing consensus learning.
    • Posting a message to X (Twitter) or Telegram.
    • Submitting a basic on-chain transaction.
    • Any other functionality you deem necessary
  • The FastAPI wrapper service is containerized using Docker for easy deployment and scalability.
  • At least one custom n8n node (e.g., for FTSO price retrieval) is developed to provide a user-friendly interface within the n8n editor.
  • Comprehensive documentation is created, detailing:
    • How to run the FastAPI service.
    • How to install and use the custom n8n nodes.
    • An example workflow demonstrating the integration.
• Key Files/Modules Involved (Tentative):
  • integrations/n8n/fastapi_service/main.py (New file for the API wrapper)
  • integrations/n8n/fastapi_service/Dockerfile (New file for containerizing the service)
  • integrations/n8n/custom_nodes/FlareAiKit/FlareFtsoPrice.node.ts (Example custom n8n node)
  • integrations/n8n/README.md (Setup and usage documentation)
• Tasks / Implementation Steps:
  • API Design: Define the API endpoints, request bodies (Pydantic models), and response formats for the FastAPI service.
  • FastAPI Service Implementation: Build the wrapper service that initializes the Flare AI Kit and exposes its functionalities through the defined API endpoints.
  • Containerization: Create a Dockerfile for the FastAPI service to ensure a consistent and isolated runtime environment.
  • Custom n8n Node Development: Develop the first custom n8n node in TypeScript to provide a good dev experience for calling a service endpoint.
  • Workflow Creation: Build and export an example workflow.json file that demonstrates how to chain together the custom nodes to perform a meaningful task (e.g., fetch a price and post it to social media).
  • Documentation: Write a detailed README.md for the integrations/n8n directory, guiding users through the entire setup process.
  • Testing: Implement basic tests for the API endpoints and ensure the custom n8n node functions correctly within an n8n instance.

[Dannynsikak]

can i request to be assigned this issue ?

[manny-uncharted]

@dineshpinto is this issue still open to be worked on, I'd like to work on it, I'm a contributor from onlydust

[manny-uncharted]

Currently reviewing the previous pr that was rejected to see what went wrong and reworking out a solution